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GEO Checker

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Check any sites readiness for AI search with our GEO (Generative Engine Optimization) Checker.

Open source on GitHub

What the GEO Checker measures

Eight signals across five categories, each scored independently from 0 to 100 and aggregated into a weighted overall score.

Structure
Heading hierarchy, semantic landmarks (main, article, nav), Open Graph and meta tags, and the presence of a /llms.txt index.
Citability
Whether content reads as substantive — author byline, dates, outbound links to primary sources, and density of marketing language.
Crawlability
How robots.txt treats AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot). Silence is permissive but ambiguous.
Freshness
Last-Modified header, visible <time datetime> elements, and schema datePublished / dateModified — weighted lower for brand pages.
Authority
Organization JSON-LD with sameAs links to verified social profiles, About and contact links, mailto exposure.

Why this matters

Generative search engines and large language models do not crawl or rank pages the way Google did in 2010. They look for entities, structured data, and citable claims. Optimizing for these signals (Generative Engine Optimization, GEO) is how a brand gets named when a user asks an AI assistant a question.

References: llmstxt.org · schema.org/Organization · OpenAI GPTBot · Anthropic crawlers